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Intention Prediction Mechanism In An Intentional Pervasive Information System

Authors :
Yves Vanrompay
Luiz Angelo Steffenel
Carine Souveyet
Manuele Kirsch Pinheiro
Salma Najar
Centre de Recherche en Informatique de Paris 1 (CRI)
Université Paris 1 Panthéon-Sorbonne (UP1)
Centre de Recherche en Informatique (CRI)
MINES ParisTech - École nationale supérieure des mines de Paris
Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)
Mathématiques Appliquées aux Systèmes - EA 4037 (MAS)
Ecole Centrale Paris
Centre de Recherche en Sciences et Technologies de l'Information et de la Communication - EA 3804 (CRESTIC)
Université de Reims Champagne-Ardenne (URCA)
Source :
HAL, Intelligent Technologies and Techniques for Pervasive Computing, Intelligent Technologies and Techniques for Pervasive Computing, IGI Global, pp.251-275, 2013

Abstract

International audience; Nowadays, the development of pervasive technologies has allowed the improvement of services availability. These services, offered by information systems (IS), are becoming more pervasive, i.e., accessed anytime, anywhere. However, those pervasive information systems (PIS) remain too complex for the user, who just wants a service satisfying his needs. This complexity requires considerable efforts from the user in order to select the most appropriate service. Thus, an important challenge in PIS is to reduce user's understanding effort. In this chapter, we propose to enhance PIS transparency and productivity through a user-centred vision based on an intentional approach. We propose an intention prediction approach. This approach allows anticipating user's future requirements, offering the most suitable service in a transparent and discrete way. This intention prediction approach is guided by the user's context. It is based on the analysis of the user's previous situations in order to learn user's behaviour in a dynamic environment.

Details

Database :
OpenAIRE
Journal :
HAL, Intelligent Technologies and Techniques for Pervasive Computing, Intelligent Technologies and Techniques for Pervasive Computing, IGI Global, pp.251-275, 2013
Accession number :
edsair.doi.dedup.....c549ccbe714e81161dbec48d1fbbccbb